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On Functional Activations in Deep Neural Networks
These networks were repeatable across repeated performance of related tasks, and correspondence of identified functional networks and activation in tasks not used to define the functional networks was shown to accurately identify the presented task.
Deep-learning based Tools for Automated Protocol Definition of Advanced Diagnostic Imaging Exams
Results: The top predicted protocol in AP mode was correct for 82. 8%, 73. 8%, and 69. 3% of the test cases for "General", "ACR", and "Local" protocol classes, respectively.
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